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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,228 ratings

About the Course

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples....

Top reviews

DK

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The content is superbly designer for a beginner. The Swirl assignments need to make compulsory. Infact they contributed more to the learning process. More Swirl contents will make the course richer.

JM

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Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.

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526 - 550 of 4,735 Reviews for R Programming

By UZAIR M

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May 28, 2020

The programming assignments in the end were very much challenging. I was not able to focus on any other activity when i got stuck at a problem. Very happy with the course.

By Duan L

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Dec 3, 2017

Great course! I'd say that the assignments are very challenge for someone who never have programming experience before. but overall it's a great course and I learnt a lot.

By Javier

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Jun 13, 2017

Clear and understandable.

Would have appreciated a bit more of depth in the functioning and programming behind some of the exercises to be given during the video sessions.

By Carlos A C Z

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Apr 23, 2017

Is a very useful course although you need more hours to complete it.

Also you need practice a lot. Use swril to practice. It is high recommended. Thanks to the instructors

By Utsav B

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Dec 7, 2016

I loved the way that this course has been structured. In addition, the sheer number of users makes this course more enjoyable since you can get your queries solved easily.

By Hillary D B

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Jun 12, 2017

I found this to be a good way to be introduced to R programming. This taste of what's to come solidified that data science and/or data analysis is the career path for me.

By Madhabendra R

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Apr 14, 2017

Best in all opinion to learn R in such a planned order ...Thank you Coursera and John Hopkins and definitely a big thanks to Prof. Roger D Peng, Jeff Leek and Brain Caffo

By SAI P G

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Oct 29, 2016

The data used for assignments are real world examples which makes the programming interesting. It would be helpful if the course provides sources for some other databases

By Pritam G

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Jun 21, 2020

This course really helps me to learn R programming from the beginning. I am very much thankful to coursera to provide me such a platform, where I can learn data science.

By Stanly W

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May 31, 2020

The course is very good. I had learned it as a part of my graduate program and with this four weeks, I learned much more than what I knew and used in one year. Thank you

By Andrii S

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Jan 19, 2017

Nice introduction to R language.

Because one thing can done by several way, and after learning about different methods, in beginning it's becoming confusing what to use.

By angie p

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Oct 2, 2016

I really enjoy it although it is tough for a begginer specially the assigments but there is help in the internet and the forum so it is fun and good to learn thanks lot

By Lantovololona F

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Oct 19, 2020

This course develop a solid foundation unto the famous R software. Easy to follow, yet in-depth, it is adequate for anyone willing to get a better grasp on the subject.

By Amgad A

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Feb 10, 2020

It was a great experience, the best course ever and the best materials, even when I had no time I downloaded the course and studied it, coursera is the best place ever!

By Yash G

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Jul 12, 2018

It was a wonderful experience. I have learnt and enjoyed the course throughout the duration. The assignments were also interesting and focused a lot on the fundamentals

By Anshul S

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Jan 21, 2018

Excellent course curriculum by John Hopkin University. Also thanks to Coursera for providing me with such an excellent chance of enriching my knowledge of this subject.

By RAVNEET S

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Dec 28, 2017

NIce course and good exercises. I'd suggest better and more explanation on scoping rules and examples on updating global variables in a loop or a local section. Thanks!

By Brad B

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Jul 28, 2021

A great series of introductory courses to R programming, data science and statistics. I enjoyed taking about 6 of the 8 of these courses before I had to take a break.

By Matheus d M d A

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Jan 20, 2020

R Programming is a good, dicdatic and comprehensive course on R. It teaches you how to perform the main operations, subset objects, write functions and deal with data.

By Nilrey J D C

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Oct 7, 2019

I was using R in my thesis but back then I did not understand well the R as a language. This course provide me the basic and intermediate skill to do programming in R.

By Alex H

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Nov 21, 2018

Very satisfied with the course layout and material. The opportunity to learn both through videos and through Swirl assignments is very helpful for reinforcing lessons.

By Martijn B

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Mar 30, 2017

This is a crash course into R-Programming. If you have never did any programming this course will be a challenge! But it is a good way to get going with R-programming.

By Joonas S

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Oct 7, 2016

This is a very good introduction to R. The material is good and this works well as a introduction to R if you have either high interest or some programming experience.

By Raja V

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May 3, 2020

This is a very well organized course. Thanks to Dr. Peng, Dr. Leek and Dr. Caffo for organizing such a useful course. These lessons will stay with me for a long time.

By George R M d C

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Apr 28, 2020

Worth it. The final assignment was a great challenge, the course seems to cover some good concepts of R, and provide a good base for those looking to learn even more.